A Relative Value Function Based Learning Beam Search for Longest Common Subsequence Problems

Huber, Marc, Günther Raidl
January 2022
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Abstract

Full Citation:

Huber, Marc, Raidl, Günther R.. A Relative Value Function Based Learning Beam Search for Longest Common Subsequence Problems. Chapter in Extended Abstracts of the 18th International Conference on Computer Aided Systems Theory – EUROCAST 2022 (Alexis Quesada-Arencibia and others), pages 22-23, 2022.

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Book Section
Günther Raidl
Günther Raidl

Günther Raidl is a Professor at the Algorithms and Complexity Group.